Insurers, TPAs, and hospital billing teams often cannot see unusual patterns hiding in claims data. CSoft builds custom analytics dashboards and anomaly-detection workflows per client — delivered as custom projects around our ready VMER/RCM foundation. We study your claims and billing data, agree what to look for, and build analytics your team can actually act on.
Dashboards and anomaly-detection workflows we can design for your claims and billing data
Analytics models built on your claims history to surface unusual billing behavior — billing cycles, provider specialty patterns, and claim sequences. What counts as "unusual" is defined together with your review team.
Custom workflows that flag statistical outliers in claims data — unusual service frequencies, billing amounts, diagnosis combinations, and procedure clusters — for your team to review and confirm.
Alert rules with thresholds your team controls, delivered via email, SMS, or dashboard. Alert timing and channels are designed around how your claims review process actually works.
Custom checks for the claim issues that matter to you — duplicate claims, unbundling, upcoding signals — correlating claims across time, providers, and patient records.
Risk profiles per provider based on historical behavior and claim patterns, built to your scoring criteria. Helps your team prioritize monitoring and targeted audits.
Network views that map relationships between providers, clinics, patient groups, and billing entities — useful when your investigators need to see connected parties in one place.
Case management screens for your review team — document review, timelines, and evidence collection — built as a custom workflow with audit trails for compliance.
Report formats designed for your internal committees, payers, or regulators. Reporting requirements are gathered during the workflow study and built into the delivery scope.
Ready Products. Custom Solutions. Healthcare-Focused Delivery.
This is not a packaged "fraud product". Every dashboard and detection workflow is designed around your claims data, your review process, and the patterns you care about.
The goal is to surface questionable claims before payment so your team can act early. Expected savings depend on your claims volume and are estimated honestly during scoping.
Automated prioritization is intended to point your investigators at the highest-probability cases first, instead of reviewing everything manually. Impact is measured during the engagement.
Analytics builds can grow over time — starting with dashboards and rule-based checks, then adding model-based detection as your data and confidence grow. The roadmap is set together.
Detection rules are calibrated against your legitimate billing patterns and refined with your team's feedback, so reviewers are not flooded with noise and providers are not wrongly flagged.
Analytics extensions connect naturally to CSoft's ready VMER/RCM product and integration-ready architecture, so claims data flows in without a separate platform project.
Get answers about how custom analytics engagements are scoped and delivered
No. Claims and billing analytics is part of CSoft's innovation and custom extensions track. We build analytics dashboards and anomaly-detection workflows per client, as custom projects scoped around your data and review process. Cases are categorized by risk level (low, medium, high) so your team can prioritize, and every alert includes the scoring logic behind it, so investigators understand why a claim was flagged.
A custom build can draw on the sources you have: claims data (headers and line items), provider information, patient records, payment data, and eligibility information. The data sources included are agreed during the workflow study. Integration with your existing claims system, EHR, or data warehouse is planned as part of the project, using standard interfaces such as HL7 and database APIs alongside CSoft's integration-ready architecture.
Delivery is phased. We start with a workflow and data study, then agree the first scope — usually a set of dashboards and rule-based anomaly checks on your highest-value claim types. Once your team is using those, we can extend the roadmap with model-based detection, additional data sources, or deeper case workflows. Detection logic is refined over time using your team's confirmed findings, so the system reflects your real billing patterns rather than generic assumptions.
Compliance needs are gathered during scoping and built into the delivery. Custom builds can include audit trails documenting analysis and decisions, case management with evidence documentation, and report formats for your internal committees, payers, or regulators. The exact regulatory requirements depend on your market and role — insurer, TPA, or provider — and we design the workflows around them rather than assuming one standard fits all.
Tell us what you need to see in your claims data. We will propose a custom analytics scope and phased plan.